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Measurement-Based Worst-Case Execution Time Analysis using Automatic Test-Data Generation ∗

Raimund Kirner, Peter Puschner, Ingomar Wenzel

Open publisher page 54 citations

Abstract

Traditional worst-case execution time (WCET) analysis methods based on static program analysis require a precise timing model of a target processor. The construction of such a timing model is expensive and time consuming. In this paper we present a hybrid WCET analysis framework using runtime measurements together with static program analysis. The novel aspect of this framework is that it uses automatic generation of test data to derive the instruction timing of code sequences. Program paths are decomposed into subpaths to make execution-time analysis based on runtime measurements feasible. 1

About this research paper

What this paper is about

Traditional worst-case execution time (WCET) analysis methods based on static program analysis require a precise timing model of a target processor. The construction of such a timing model is expensive and time consuming. In this paper we present a hybrid WCET analysis framework using runtime measurements together with static program analysis. The novel aspect of this framework is that it uses automatic generation of test data to derive the instruction timing of code sequences. Program paths are decomposed into subpaths to make execution-time analysis based on runtime measurements feasible. 1

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OpenAlex reports 54 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Traditional worst-case execution time (WCET) analysis methods based on static program analysis require a precise timing model of a target processor. The construction of such a timing model is expensive and time consuming. In this paper we present a hybrid WCET analysis framework using runtime measurements together with static program analysis. The novel aspect of this framework is that it uses automatic generation of test data to derive the instruction timing of code sequences. Program paths are decomposed into subpaths to make execution-time analysis based on runtime measurements feasible. 1

Key concepts: Computer science, Worst-case execution time, Static timing analysis, Execution time, Static analysis, Program analysis, Code (set theory), Symbolic execution

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